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Innovaccer is seeking an AI Engineer to join its growing AI team and build production-grade AI systems that solve complex healthcare problems at scale. You will work closely with product, engineering, and data teams to design, develop, and deploy AI-powered applications, including LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows.
In this role, you will own the full AI development lifecycle—from experimentation and prototyping through production deployment and optimization. You will take ideas from concept to prototype to production, building the model layer of real products (not just isolated models). This means choosing appropriate model sizes, composing multiple models into cohesive systems, and maintaining product-level accuracy standards.
You will write production Python and PyTorch code with sufficient systems knowledge to diagnose performance bottlenecks. You design rigorous experiments with clear hypotheses, run ablations, and report results honestly—even when they contradict expectations. You measure everything and build evaluation frameworks before building models. You stay current with research literature and can distinguish between techniques with lasting value and those that won't hold up in practice.
A key part of the role is explaining your work to non-AI stakeholders, including clinicians and operators who will provide critical feedback on model outputs and real-world performance.
Innovaccer's Healthcare Intelligence Cloud helps providers, payers, and government organizations deliver intelligent, connected healthcare experiences. The platform integrates fragmented healthcare data into proactive, coordinated actions that improve care quality and operational performance. Leading organizations like CommonSpirit Health, Atlantic Health, and Banner Health rely on Innovaccer to embed intelligence into their existing infrastructure.
